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Temporal Fusion Transformers for interpretable multi-horizon time series forecasting

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Cited by:

  1. Ozan Ozyegen & Garima Malik & Mucahit Cevik & Kevin Ioi & Karim El Mokhtari, 2026. "A unified framework for financial commentary prediction," Information Technology and Management, Springer, vol. 27(1), pages 95-111, March.
  2. Gomez, William & Wang, Fu-Kwun & Sheu, Shey-Huei, 2025. "Short-term smart grid energy forecasting using a hybrid deep learning method on univariate and multivariate data sets," Energy, Elsevier, vol. 335(C).
  3. Frederick Nsambu Kijjambu & Benjamin Musiita & Asaph Kaburura Katarangi & Geoffrey Kahangane & Sheilla Akampwera, 2023. "Determinants of Uganda’s Debt Sustainability: The Public Debt Dynamics Model in Perspective," Journal of Economics and Behavioral Studies, AMH International, vol. 15(4), pages 106-124.
  4. Wei, Jiangxia & Zhang, Weiqiang & Zhang, Wenjie & Ren, Mifeng & Xu, Xinying & Cheng, Lan, 2025. "DBSTN: A dual-branch spatio-temporal network for wind power prediction using multi-modal fusion," Energy, Elsevier, vol. 341(C).
  5. Yu, Hanxin & Chen, Shanlin & Chu, Yinghao & Li, Mengying & Ding, Yueming & Cui, Rongxi & Zhao, Xin, 2024. "Self-attention mechanism to enhance the generalizability of data-driven time-series prediction: A case study of intra-hour power forecasting of urban distributed photovoltaic systems," Applied Energy, Elsevier, vol. 374(C).
  6. Bonaglia, Adeline & Shen, Chenyu & Padrón, Ryan S. & Bogner, Konrad & Fopp, Fabian & Rubin, Aurélie & Rubin, Jean-François & Adde, Antoine & Guisan, Antoine & Albouy, Camille & Pellissier, Loïc, 2025. "Sub-seasonal forecasting of thermal stress for Swiss river fishes during heatwaves," Ecological Modelling, Elsevier, vol. 507(C).
  7. Runyao Yu & Yuchen Tao & Fabian Leimgruber & Tara Esterl & Jochen Stiasny & Derek W. Bunn & Qingsong Wen & Hongye Guo & Jochen L. Cremer, 2025. "OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting," Papers 2502.06830, arXiv.org, revised May 2026.
  8. Md. Iftekharul Alam Efat & Petr Hajek & Mohammad Zoynul Abedin & Rahat Uddin Azad & Md. Al Jaber & Shuvra Aditya & Mohammad Kabir Hassan, 2024. "Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales," Annals of Operations Research, Springer, vol. 339(1), pages 297-328, August.
  9. Zhang, Can & Xiao, Xianyong & Wang, Ying & Hou, Michael Z. & Huang, Shudong & Hu, Wenxi & Hu, Ming & Huang, Rui, 2025. "Fine-grained ultra-short-term wind power forecasting based on Temporal Fusion Transformers integrated with turbine power time series clustering," Energy, Elsevier, vol. 335(C).
  10. Xianbao Tan & Yulong Bai, 2026. "Environment-Aware Mamba State-Space Model for Multivariate Water Quality Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(5), pages 1-21, March.
  11. Liu, Jingxuan & Zang, Haixiang & Cheng, Lilin & Ding, Tao & Wei, Zhinong & Sun, Guoqiang, 2025. "Generative probabilistic forecasting of wind power: A Denoising-Diffusion-based nonstationary signal modeling approach," Energy, Elsevier, vol. 317(C).
  12. Niu, Zhewen & Han, Xiaoqing & Zhang, Dongxia & Wu, Yuxiang & Lan, Songyan, 2024. "Interpretable wind power forecasting combining seasonal-trend representations learning with temporal fusion transformers architecture," Energy, Elsevier, vol. 306(C).
  13. Tom Liu & Stephen Roberts & Stefan Zohren, 2023. "Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies," Papers 2307.05522, arXiv.org.
  14. Bentsen, Lars Ødegaard & Warakagoda, Narada Dilp & Stenbro, Roy & Engelstad, Paal, 2023. "Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures," Applied Energy, Elsevier, vol. 333(C).
  15. Xiang Ao & Jingxuan Zhang & Xinyu Zhao, 2026. "Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks," Papers 2604.09650, arXiv.org.
  16. Thabang Mathonsi & Terence L. van Zyl, 2021. "A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling," Forecasting, MDPI, vol. 4(1), pages 1-25, December.
  17. Jaemoo Hong & Yoon Min Hwang, 2025. "Long short-term memory networks in learning memory inconsistencies of stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-50, December.
  18. Yulong Bai & Xianbao Tan & Xiaoxin Yue, 2025. "A Hybrid Mamba Architecture with Graph Convolution and Convolutional Self-Attention for Multivariate Water Quality Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(13), pages 7075-7107, October.
  19. Hoang Anh Nguyen & Nhat Hoang Bach, 2026. "QI-HRNN: a quantum-inspired hybrid framework for resilient currency forecasting under extreme market conditions," Digital Finance, Springer, vol. 8(2), pages 1-40, June.
  20. Gomez, William & Wang, Fu-Kwun & Chou, Jia-Hong, 2024. "Li-ion battery capacity prediction using improved temporal fusion transformer model," Energy, Elsevier, vol. 296(C).
  21. Yousef Adeli Sadabad & Mohammad Reza Hesamzadeh & Gyorgy Dan & Matin Bagherpour & Darryl R. Biggar, 2025. "Driver Identification and PCA Augmented Selection Shrinkage Framework for Nordic System Price Forecasting," Papers 2509.18887, arXiv.org.
  22. Nie, Xiaobo & Pan, Yongjun & Zhang, Yongzhi & Luo, Zhenning & Wang, Shuxin, 2026. "Battery health prediction under data scarcity: A cross-domain physics-informed 5-shot framework with GRU-Transformer," Applied Energy, Elsevier, vol. 402(PB).
  23. Zheng, Peijun & Zhou, Heng & Liu, Jiang & Nakanishi, Yosuke, 2023. "Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture," Applied Energy, Elsevier, vol. 349(C).
  24. Wang, Yun & Xu, Houhua & Zou, Runmin & Zhang, Fan & Hu, Qinghua, 2024. "Dynamic non-constraint ensemble model for probabilistic wind power and wind speed forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
  25. Srivastava, Mahima & Tiwari, Prashant Kumar, 2024. "A profit driven optimal scheduling of virtual power plants for peak load demand in competitive electricity markets with machine learning based forecasted generations," Energy, Elsevier, vol. 310(C).
  26. Wang, Wenyang & Luo, Yuping & Xu, Yuqiang & Liu, Danzhu & Zhou, Jibin & Shao, Peng, 2025. "SPPformer: A transformer-based model with a sparse attention mechanism for comprehensive and interpretable ship price analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 199(C).
  27. Yuguang Yan & Gan Li & Qingliang Li & Xiao Chen & Jinlong Zhu, 2026. "Improving Short-term Forecasts of Soil Moisture and Evapotranspiration with Multi-task Learning and Transformer-based Feature Processing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(5), pages 1-17, March.
  28. Zhang, Qi & Ye, Feng & Li, Xue & Gao, Pengbin, 2026. "Demand forecasting in cross-border live streaming commerce: An explainable multimodal AI framework for market segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 88(C).
  29. Florindo, Joao B. & Lima, Reneé Rodrigues & dos Santos, Francisco Alves & Alves, Jerson Leite, 2025. "GHENet: Attention-based Hurst exponents for the forecasting of stock market indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 667(C).
  30. Dong, Hanjiang & Zhu, Jizhong & Li, Shenglin & Wu, Wanli & Zhu, Haohao & Fan, Junwei, 2023. "Short-term residential household reactive power forecasting considering active power demand via deep Transformer sequence-to-sequence networks," Applied Energy, Elsevier, vol. 329(C).
  31. Zhu, Leyang & Huang, Xiaoqiao & Zhang, Zongbin & Li, Chengli & Tai, Yonghang, 2025. "A novel U-LSTM-AFT model for hourly solar irradiance forecasting," Renewable Energy, Elsevier, vol. 238(C).
  32. Nascimento, Erick Giovani Sperandio & de Melo, Talison A.C. & Moreira, Davidson M., 2023. "A transformer-based deep neural network with wavelet transform for forecasting wind speed and wind energy," Energy, Elsevier, vol. 278(C).
  33. Jang, Junkyu, 2025. "Selective news selection model for explainable stock prediction via cross-attention integration," Finance Research Letters, Elsevier, vol. 85(PD).
  34. Chou, Jia-Hong & Wang, Fu-Kwun, 2025. "Future prediction on the remaining useful life of proton exchange membrane fuel using temporal fusion transformer model," Renewable Energy, Elsevier, vol. 247(C).
  35. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
  36. Pegah Eslamieh & Mehdi Shajari & Ahmad Nickabadi, 2023. "User2Vec: A Novel Representation for the Information of the Social Networks for Stock Market Prediction Using Convolutional and Recurrent Neural Networks," Mathematics, MDPI, vol. 11(13), pages 1-26, July.
  37. Hugo Gobato Souto, 2026. "Evaluating the Efficacy of NHITS for Forecasting Stock Realized Volatility: A Comparative Analysis with Established Models," Computational Economics, Springer;Society for Computational Economics, vol. 67(2), pages 1291-1348, February.
  38. Zou, Yajie & Chen, Yubin & Xu, Yajiao & Zhang, Hao & Zhang, Siyang, 2024. "Short-term freeway traffic speed multistep prediction using an iTransformer model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 655(C).
  39. Muniz, Rafael Ninno & Stefenon, Stefano Frizzo & Buratto, William Gouvêa & Nied, Ademir & Cardoso, Rodolfo & Yamaguchi, Cristina Keiko & Yow, Kin-Choong, 2025. "Time series forecasting based on multi-criteria optimization for model and filter selection applied to hydroelectric power plants," Energy, Elsevier, vol. 337(C).
  40. Theodoros Zafeiriou & Dimitris Kalles, 2024. "Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost," Papers 2405.10679, arXiv.org.
  41. Remi Genet & Hugo Inzirillo, 2025. "LEMs: A Primer On Large Execution Models," Papers 2509.25211, arXiv.org.
  42. Han Zheng & Junhua Chen & Zhaocha Huang & Kuan Yang & Jianhao Zhu, 2022. "Short-Term Online Forecasting for Passenger Origin–Destination (OD) Flows of Urban Rail Transit: A Graph–Temporal Fused Deep Learning Method," Mathematics, MDPI, vol. 10(19), pages 1-30, October.
  43. Wu, Binrong & Wang, Lin, 2024. "Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting," Energy, Elsevier, vol. 288(C).
  44. Kamoona, Ammar & Song, Hui & Jalili, Mahdi & Wang, Hao & Razzaghi, Reza & Yu, Xinghuo, 2025. "Online electric vehicle charging detection based on memory-based transformer using smart meter data," Applied Energy, Elsevier, vol. 398(C).
  45. Adir Saly-Kaufmann & Kieran Wood & Jan Peter-Calliess & Stefan Zohren, 2026. "Deep Learning for Financial Time Series: A Large-Scale Benchmark of Risk-Adjusted Performance," Papers 2603.01820, arXiv.org.
  46. de Azevedo Takara, Lucas & Teixeira, Ana Clara & Yazdanpanah, Hamed & Mariani, Viviana Cocco & dos Santos Coelho, Leandro, 2024. "Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning," Applied Energy, Elsevier, vol. 369(C).
  47. Xia, Chenyue & Xu, Yinliang & Tai, Nengling & Sun, Hongbin, 2026. "A dual-layer feature-selection transformer network for transferable probabilistic forecasting of PV power," Applied Energy, Elsevier, vol. 406(C).
  48. Feddersen, Leif & Cleophas, Catherine, 2026. "Hierarchical neural additive models for interpretable demand forecasts," International Journal of Forecasting, Elsevier, vol. 42(1), pages 216-234.
  49. Mao, Xuehui & Chen, Shanlin & Yu, Hanxin & Duan, Liwu & He, Yingjie & Chu, Yinghao, 2025. "Simplicity in dynamic and competitive electricity markets: A case study on enhanced linear models versus complex deep-learning models for day-ahead electricity price forecasting," Applied Energy, Elsevier, vol. 383(C).
  50. Damian Kisiel & Denise Gorse, 2022. "Portfolio Transformer for Attention-Based Asset Allocation," Papers 2206.03246, arXiv.org.
  51. Zhao, Yongning & Liao, Haohan & Zhao, Yuan & Pan, Shiji, 2025. "Data-augmented trend-fluctuation representations by interpretable contrastive learning for wind power forecasting," Applied Energy, Elsevier, vol. 380(C).
  52. Keyan Jin & Francisco Javier Blanco‐Encomienda, 2026. "Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(2), pages 880-891, March.
  53. Felix Divo & Eric Endress & Kevin Endler & Kristian Kersting & Devendra Singh Dhami, 2024. "Forecasting Company Fundamentals," Papers 2411.05791, arXiv.org, revised Jun 2025.
  54. Le Wang & Boyuan Zhang, 2026. "The Promise of Time-Series Foundation Models for Agricultural Forecasting: Evidence from Commodity Prices," Papers 2601.06371, arXiv.org, revised Jan 2026.
  55. Xu, Rui & Fang, Haoyu & Zeng, Huanze & Wu, Binrong, 2025. "A novel interpretable wind speed forecasting based on the multivariate variational mode decomposition and temporal fusion transformer," Energy, Elsevier, vol. 331(C).
  56. Shubham Agarwal & Prateek Agrawal & Anurag Allamsetty & Adarsh Attavar & Deekshith B & Gowtham Bellala & Shobhit Bhatnagar & Hardik Choudhari & Vikas Goel & Praveen Gupta & Ananth Kachroo & Jay Kothad, 2026. "Faster, Smarter, Leaner: How Flipkart Optimized Its Supply Chain to Unlock Growth," Interfaces, INFORMS, vol. 56(1), pages 42-57, January.
  57. Hu, Lipeng & Tang, Jinjun & Xu, Fuqiao & Liang, Xiao, 2025. "SOC prediction for electric buses based on interpretable transformer model: Impact of traffic conditions and feature importance," Energy, Elsevier, vol. 324(C).
  58. Kate Murray & Andrea Rossi & Diego Carraro & Andrea Visentin, 2023. "On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles," Forecasting, MDPI, vol. 5(1), pages 1-14, January.
  59. Juan Laborda & Sonia Ruano & Ignacio Zamanillo, 2023. "Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
  60. Abdelfatah, Omar Sharafeldin Mohamed, 2026. "Machine Learning Approaches for Improving Demand Forecasting Accuracy in Retail Supply Chains," SocArXiv 4z9be_v1, Center for Open Science.
  61. Carlei, Vittorio & Furia, Donatella & Cascioli, Piera & Manenti, Paolo, 2025. "Macro-founded machine learning models for power market price trend detection," Finance Research Letters, Elsevier, vol. 83(C).
  62. Yoontae Hwang & Stefan Zohren, 2025. "Signature-Informed Transformer for Asset Allocation," Papers 2510.03129, arXiv.org, revised Jan 2026.
  63. Liu Jieni, 2026. "A Search-Then-Forecast Transformer Framework for Mid-Term Stock Price Prediction: An Empirical Case Study on the Chinese A-Share Market," Discussion Papers in Economics and Business 26-06, Osaka University, Graduate School of Economics.
  64. Yunhua Pei & John Cartlidge & Anandadeep Mandal & Daniel Gold & Enrique Marcilio & Riccardo Mazzon, 2025. "Cross-Modal Temporal Fusion for Financial Market Forecasting," Papers 2504.13522, arXiv.org, revised Aug 2025.
  65. Harrison Katz, 2026. "Coupled Supply and Demand Forecasting in Platform Accommodation Markets," Papers 2603.00422, arXiv.org, revised Apr 2026.
  66. Frison, Lilli & Gölzhäuser, Simon & Bitterling, Moritz & Kramer, Wolfgang, 2024. "Evaluating different artificial neural network forecasting approaches for optimizing district heating network operation," Energy, Elsevier, vol. 307(C).
  67. Ma, Tian & Wang, Wanwan & Jiang, Fuwei, 2025. "Machine learning the performance of hedge fund," Journal of International Money and Finance, Elsevier, vol. 155(C).
  68. Van Gompel, Jonas & Claessens, Bert & Develder, Chris, 2025. "Probabilistic forecasting of power system imbalance using neural network-based ensembles," Applied Energy, Elsevier, vol. 401(PB).
  69. Pinheiro, Marco G. & Madeira, Sara C. & Francisco, Alexandre P., 2023. "Short-term electricity load forecasting—A systematic approach from system level to secondary substations," Applied Energy, Elsevier, vol. 332(C).
  70. Weixin Sun & Minghao Li & Li Zhang & Yong Wang, 2026. "Modeling Grain Futures Prices Through Uncertainty Indices and Mixed‐Frequency Fusion: An Interpretable Deep Learning Framework," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(2), pages 353-380, February.
  71. Sana Akram,Muhammad Shaban Qabil,Tehmima Ismail, 2026. "Sentiment Trend Forecasting in E-Commerce Reviews Using Transformer-Based Representations and Time-Series Modeling," International Journal of Innovations in Science & Technology, 50sea, vol. 8(3), pages 388-402, May.
  72. Deng, Chuhao & Choi, Hong-Cheol & Park, Hyunsang & Hwang, Inseok, 2025. "Multi-agent learning for data-driven air traffic management applications," Journal of Air Transport Management, Elsevier, vol. 128(C).
  73. Sun, Wenjie & Wu, Chengke & Xie, Chengde & Wang, Xikang & Guo, Yuanjun & Tang, Yongbing & Zhang, Yanhui & Li, Kang & Du, Guanhao & Yang, Zhile & Yao, Wenjiao, 2025. "Fine-tuning enables state of health estimation for lithium-ion batteries via a time series foundation model," Energy, Elsevier, vol. 318(C).
  74. Beckmeyer, Heiner & Wiedemann, Timo, 2022. "Recovering Missing Firm Characteristics with Attention-Based Machine Learning," VfS Annual Conference 2022 (Basel): Big Data in Economics 264135, Verein für Socialpolitik / German Economic Association.
  75. Wu, Binrong & Lin, Jiacheng & Liu, Rui & Wang, Lin, 2026. "A multi-dimensional interpretable wind speed forecasting model with two-stage feature exploring," Renewable Energy, Elsevier, vol. 256(PB).
  76. Tan, Zhi Qin & Li, Yunpeng, 2026. "Post-pandemic tourism forecasting with ensemble RNN," Annals of Tourism Research, Elsevier, vol. 116(C).
  77. Aleksandr Simonyan, 2024. "BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges," Papers 2411.06076, arXiv.org.
  78. He, Jinhua & Hu, Zechun & Wang, Songpo & Mujeeb, Asad & Yang, Pengwei, 2024. "Windformer: A novel 4D high-resolution system for multi-step wind speed vector forecasting based on temporal shifted window multi-head self-attention," Energy, Elsevier, vol. 310(C).
  79. Manikrao Patil & Jaikumar M. Patil & Aniket K. Shahade & Priyanka V. Deshmukh, 2026. "Explainable Multi-source AI Framework for Real-Time Stock Price Monitoring and Prediction," SN Operations Research Forum, Springer, vol. 7(1), pages 1-24, March.
  80. Xiao, Guolin & Lang, Qi & Gao, Xiaori & Lu, Wei & Liu, Xiaodong, 2025. "Enhancing parameter prediction in gas-fired boiler systems through node similarity-based feature aggregation," Energy, Elsevier, vol. 328(C).
  81. Shichao Huang & Jing Zhang & Yu He & Xiaofan Fu & Luqin Fan & Gang Yao & Yongjun Wen, 2022. "Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer," Energies, MDPI, vol. 15(10), pages 1-14, May.
  82. Guo, Qing & Mai, Zishan, 2024. "How do seasonal, significant events, and policies affect China's REE export prices? Based on deep learning perspective," Resources Policy, Elsevier, vol. 96(C).
  83. Zhang, Hanyu & Zandehshahvar, Reza & Tanneau, Mathieu & Van Hentenryck, Pascal, 2025. "Weather-informed probabilistic forecasting and scenario generation in power systems," Applied Energy, Elsevier, vol. 384(C).
  84. Houndekindo, Freddy & Ouarda, Taha B.M.J., 2025. "LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds," Energy, Elsevier, vol. 328(C).
  85. Dong Zhang & Yangyu Deng & Yakun Liu & Di Zhang, 2026. "Stacking Ensemble Learning for Daily Potential Evapotranspiration using Limited Climate Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(4), pages 1-20, March.
  86. Chen, Rujian & Liu, Gang & Cao, Yisheng & Xiao, Gang & Tang, Jianchao, 2024. "CGAformer: Multi-scale feature Transformer with MLP architecture for short-term photovoltaic power forecasting," Energy, Elsevier, vol. 312(C).
  87. Shovon Sengupta & Sunny Kumar Singh & Tanujit Chakraborty, 2025. "Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks," Papers 2510.23347, arXiv.org.
  88. Fan Zhang & Jiabin Luo & Zheng Zhang & Shuanghong Huang & Zhipeng Liu & Yu Chen, 2026. "Beyond Visual Realism: Toward Reliable Financial Time Series Generation," Papers 2601.12990, arXiv.org.
  89. Liao, Xuan & Wong, Man Sing & Zhu, Rui, 2025. "Dual-gate Temporal Fusion Transformer for estimating large-scale land surface solar irradiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 214(C).
  90. Gupta, Abhijit, 2025. "Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery," OSF Preprints 4rzky_v1, Center for Open Science.
  91. Frank, Johannes, 2023. "Forecasting realized volatility in turbulent times using temporal fusion transformers," FAU Discussion Papers in Economics 03/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  92. Arash Peik & Mohammad Ali Zare Chahooki & Amin Milani Fard & Mehdi Agha Sarram, 2025. "Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction," Papers 2509.10542, arXiv.org.
  93. Pesantez, Jorge E. & Li, Binbin & Lee, Christopher & Zhao, Zhizhen & Butala, Mark & Stillwell, Ashlynn S., 2023. "A Comparison Study of Predictive Models for Electricity Demand in a Diverse Urban Environment," Energy, Elsevier, vol. 283(C).
  94. Tang, Huadu & Kang, Fei & Li, Xinyu & Sun, Yong, 2025. "Short-term photovoltaic power prediction model based on feature construction and improved transformer," Energy, Elsevier, vol. 320(C).
  95. Zheng, Minglei & Man, Junfeng & Wang, Dian & Chen, Yanan & Li, Qianqian & Liu, Yong, 2023. "Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
  96. Sprangers, Olivier & Wadman, Wander & Schelter, Sebastian & de Rijke, Maarten, 2024. "Hierarchical forecasting at scale," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1689-1700.
  97. Feng, Guanxiang & Chen, Yingxue & Gou, Linfeng, 2025. "Multi-scale spatiotemporal feature-assisted physical information graph temporal convolutional network for aero-engine degradation trend prediction," Energy, Elsevier, vol. 340(C).
  98. Xu, Mengjie & Li, Qianwen & Zhao, Zhengtang & Sun, Chuanwang, 2024. "Bilinear-DRTFT: Uncertainty prediction in electricity load considering multiple demand responses," Energy, Elsevier, vol. 309(C).
  99. Abdelfatah, Omar Sharafeldin Mohamed, 2026. "AI-Driven Demand Forecasting and Its Impact on Inventory Optimization," SocArXiv uw57j_v1, Center for Open Science.
  100. Dai, Ting-Yu & Niyogi, Dev & Nagy, Zoltan, 2025. "CityTFT: A temporal fusion transformer-based surrogate model for urban building energy modeling," Applied Energy, Elsevier, vol. 389(C).
  101. I Gede Nyoman Mindra Jaya & Henk Folmer & Johan Lundberg, 2024. "A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(1), pages 107-140, January.
  102. Meisenbacher, Stefan & Phipps, Kaleb & Taubert, Oskar & Weiel, Marie & Götz, Markus & Mikut, Ralf & Hagenmeyer, Veit, 2025. "AutoPQ: Automating quantile estimation from point forecasts in the context of sustainability," Applied Energy, Elsevier, vol. 392(C).
  103. Du, Pei & Yang, Dongchuan & Li, Yanzhao & Wang, Jianzhou, 2024. "An innovative interpretable combined learning model for wind speed forecasting," Applied Energy, Elsevier, vol. 358(C).
  104. Li, Xin & Xu, Yechi & Law, Rob & Wang, Shouyang, 2024. "Enhancing Tourism Demand Forecasting with a Transformer-based Framework," SocArXiv 5ezn3_v1, Center for Open Science.
  105. Kuang, Haoxuan & Deng, Kunxiang & You, Linlin & Li, Jun, 2025. "Citywide electric vehicle charging demand prediction approach considering urban region and dynamic influences," Energy, Elsevier, vol. 320(C).
  106. Alexios Lekidis & Elpiniki I. Papageorgiou, 2023. "Edge-Based Short-Term Energy Demand Prediction," Energies, MDPI, vol. 16(14), pages 1-20, July.
  107. Miguel López Santos & Xela García-Santiago & Fernando Echevarría Camarero & Gonzalo Blázquez Gil & Pablo Carrasco Ortega, 2022. "Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting," Energies, MDPI, vol. 15(14), pages 1-22, July.
  108. Liu, Dinggao & Chen, Kaijie & Cai, Yi & Tang, Zhenpeng, 2024. "Interpretable EU ETS Phase 4 prices forecasting based on deep generative data augmentation approach," Finance Research Letters, Elsevier, vol. 61(C).
  109. Jin, Xiao & Lin, Shu-Ling, 2025. "An early prediction model on systemic risk under global risk: Using FinBERT and temporal fusion transformer to multimodal data fusion framework," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
  110. Gou, Liangjie & Yang, Zhaozhong & Min, Chao & Yi, Duo & Li, Xiaogang & Kong, Bing, 2024. "A novel domain adaptation method with physical constraints for shale gas production forecasting," Applied Energy, Elsevier, vol. 371(C).
  111. Ali Atiah Alzahrani, 2025. "Multi-Agent Regime-Conditioned Diffusion (MARCD) for CVaR-Constrained Portfolio Decisions," Papers 2510.10807, arXiv.org, revised Nov 2025.
  112. Wu, Binrong & Yu, Sihao & Peng, Lu & Wang, Lin, 2024. "Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition," Energy, Elsevier, vol. 294(C).
  113. Gerg, Isaac D. & Tashie, Arik M. & Patanaik, Amiya & Koester, Evan & Gupta, Himanshu & Farnham, David J., 2026. "The substantial role of weather data in consumer spending prediction: A robust machine learning assessment," Journal of Retailing and Consumer Services, Elsevier, vol. 90(C).
  114. Li, Jingrui & Xie, Weihong & Wang, Jianzhou & Gao, Jialu & Zhang, Linyue & Wang, Jiyang & Li, Shoujiang, 2026. "Forecasting tourism recovery with multifactor insights – A case of post-pandemic Chinese outbound tourism," Annals of Tourism Research, Elsevier, vol. 116(C).
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